




'''simple docstring'''


# Imports
import numpy as np





class  __lowercase    :







   def __init__(						self   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   )					->     int:
     self.set_matricies(red=UpperCamelCase   ,				green=UpperCamelCase   ,				blue=UpperCamelCase   ,				red_edge=UpperCamelCase   ,				nir=UpperCamelCase   )







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   )					->     str:
     if red is not None:
       __a								=       red
     if green is not None:
       __a								=       green
     if blue is not None:
       __a								=       blue
     if red_edge is not None:
       __a								=       red_edge
     if nir is not None:
       __a								=       nir
     return True







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase=""   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   ,				UpperCamelCase=None   )					->     Dict:
     self.set_matricies(red=UpperCamelCase   ,				green=UpperCamelCase   ,				blue=UpperCamelCase   ,				red_edge=UpperCamelCase   ,				nir=UpperCamelCase   )
     __a								=       {
         'ARVI2': self.arvaa,
         'CCCI': self.ccci,
         'CVI': self.cvi,
         'GLI': self.gli,
         'NDVI': self.ndvi,
         'BNDVI': self.bndvi,
         'redEdgeNDVI': self.red_edge_ndvi,
         'GNDVI': self.gndvi,
         'GBNDVI': self.gbndvi,
         'GRNDVI': self.grndvi,
         'RBNDVI': self.rbndvi,
         'PNDVI': self.pndvi,
         'ATSAVI': self.atsavi,
         'BWDRVI': self.bwdrvi,
         'CIgreen': self.ci_green,
         'CIrededge': self.ci_rededge,
         'CI': self.ci,
         'CTVI': self.ctvi,
         'GDVI': self.gdvi,
         'EVI': self.evi,
         'GEMI': self.gemi,
         'GOSAVI': self.gosavi,
         'GSAVI': self.gsavi,
         'Hue': self.hue,
         'IVI': self.ivi,
         'IPVI': self.ipvi,
         'I': self.i,
         'RVI': self.rvi,
         'MRVI': self.mrvi,
         'MSAVI': self.m_savi,
         'NormG': self.norm_g,
         'NormNIR': self.norm_nir,
         'NormR': self.norm_r,
         'NGRDI': self.ngrdi,
         'RI': self.ri,
         'S': self.s,
         'IF': self._if,
         'DVI': self.dvi,
         'TVI': self.tvi,
         'NDRE': self.ndre,
     }

     try:
       return funcs[index]()
     except KeyError:
       print('Index not in the list!'   )
       return False







   def 		UpperCamelCase__      (						self   )					->     Union[str, Any]:
     return -0.18 + (1.17 * ((self.nir - self.red) / (self.nir + self.red)))







   def 		UpperCamelCase__      (						self   )					->     Dict:
     return ((self.nir - self.redEdge) / (self.nir + self.redEdge)) / (
         (self.nir - self.red) / (self.nir + self.red)
     )







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return self.nir * (self.red / (self.green**2))







   def 		UpperCamelCase__      (						self   )					->     Dict:
     return (2 * self.green - self.red - self.blue) / (
         2 * self.green + self.red + self.blue
     )







   def 		UpperCamelCase__      (						self   )					->     List[str]:
     return (self.nir - self.red) / (self.nir + self.red)







   def 		UpperCamelCase__      (						self   )					->     Union[str, Any]:
     return (self.nir - self.blue) / (self.nir + self.blue)







   def 		UpperCamelCase__      (						self   )					->     List[str]:
     return (self.redEdge - self.red) / (self.redEdge + self.red)







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return (self.nir - self.green) / (self.nir + self.green)







   def 		UpperCamelCase__      (						self   )					->     Any:
     return (self.nir - (self.green + self.blue)) / (
         self.nir + (self.green + self.blue)
     )







   def 		UpperCamelCase__      (						self   )					->     Union[str, Any]:
     return (self.nir - (self.green + self.red)) / (
         self.nir + (self.green + self.red)
     )







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return (self.nir - (self.blue + self.red)) / (self.nir + (self.blue + self.red))







   def 		UpperCamelCase__      (						self   )					->     str:
     return (self.nir - (self.green + self.red + self.blue)) / (
         self.nir + (self.green + self.red + self.blue)
     )







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase=0.08   ,				UpperCamelCase=1.22   ,				UpperCamelCase=0.03   )					->     int:
     return a * (
         (self.nir - a * self.red - b)
         / (a * self.nir + self.red - a * b + x * (1 + a**2))
     )







   def 		UpperCamelCase__      (						self   )					->     Any:
     return (0.1 * self.nir - self.blue) / (0.1 * self.nir + self.blue)







   def 		UpperCamelCase__      (						self   )					->     Tuple:
     return (self.nir / self.green) - 1







   def 		UpperCamelCase__      (						self   )					->     Tuple:
     return (self.nir / self.redEdge) - 1







   def 		UpperCamelCase__      (						self   )					->     Dict:
     return (self.red - self.blue) / self.red







   def 		UpperCamelCase__      (						self   )					->     List[str]:
     __a								=       self.ndvi()
     return ((ndvi + 0.5) / (abs(ndvi + 0.5   ))) * (abs(ndvi + 0.5   ) ** (1 / 2))







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return self.nir - self.green







   def 		UpperCamelCase__      (						self   )					->     Dict:
     return 2.5 * (
         (self.nir - self.red) / (self.nir + 6 * self.red - 7.5 * self.blue + 1)
     )







   def 		UpperCamelCase__      (						self   )					->     str:
     __a								=       (2 * (self.nir**2 - self.red**2) + 1.5 * self.nir + 0.5 * self.red) / (
         self.nir + self.red + 0.5
     )
     return n * (1 - 0.25 * n) - (self.red - 0.125) / (1 - self.red)







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase=0.16   )					->     str:
     return (self.nir - self.green) / (self.nir + self.green + y)







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase=0.5   )					->     Dict:
     return ((self.nir - self.green) / (self.nir + self.green + n)) * (1 + n)







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return np.arctan(
         ((2 * self.red - self.green - self.blue) / 30.5) * (self.green - self.blue)   )







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase=None   ,				UpperCamelCase=None   )					->     Any:
     return (self.nir - b) / (a * self.red)







   def 		UpperCamelCase__      (						self   )					->     Union[str, Any]:
     return (self.nir / ((self.nir + self.red) / 2)) * (self.ndvi() + 1)







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return (self.red + self.green + self.blue) / 30.5







   def 		UpperCamelCase__      (						self   )					->     Optional[int]:
     return self.nir / self.red







   def 		UpperCamelCase__      (						self   )					->     Optional[int]:
     return (self.rvi() - 1) / (self.rvi() + 1)







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return (
         (2 * self.nir + 1)
         - ((2 * self.nir + 1) ** 2 - 8 * (self.nir - self.red)) ** (1 / 2)
     ) / 2







   def 		UpperCamelCase__      (						self   )					->     Optional[Any]:
     return self.green / (self.nir + self.red + self.green)







   def 		UpperCamelCase__      (						self   )					->     Optional[int]:
     return self.nir / (self.nir + self.red + self.green)







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return self.red / (self.nir + self.red + self.green)







   def 		UpperCamelCase__      (						self   )					->     Optional[Any]:
     return (self.green - self.red) / (self.green + self.red)







   def 		UpperCamelCase__      (						self   )					->     Tuple:
     return (self.red - self.green) / (self.red + self.green)







   def 		UpperCamelCase__      (						self   )					->     Optional[Any]:
     __a								=       np.max([np.max(self.red   ), np.max(self.green   ), np.max(self.blue   )]   )
     __a								=       np.min([np.min(self.red   ), np.min(self.green   ), np.min(self.blue   )]   )
     return (max_value - min_value) / max_value







   def 		UpperCamelCase__      (						self   )					->     List[Any]:
     return (2 * self.red - self.green - self.blue) / (self.green - self.blue)







   def 		UpperCamelCase__      (						self   )					->     Union[str, Any]:
     return self.nir / self.red







   def 		UpperCamelCase__      (						self   )					->     Optional[Any]:
     return (self.ndvi() + 0.5) ** (1 / 2)







   def 		UpperCamelCase__      (						self   )					->     Union[str, Any]:
     return (self.nir - self.redEdge) / (self.nir + self.redEdge)









'''simple docstring'''


import logging
import os
import sys
from pathlib import Path
from unittest.mock import patch

from parameterized import parameterized
from run_eval import run_generate
from run_eval_search import run_search

from transformers.testing_utils import CaptureStdout, TestCasePlus, slow
from utils import ROUGE_KEYS


logging.basicConfig(level=logging.DEBUG)
UpperCAmelCase_					=   logging.getLogger()


def     SCREAMING_SNAKE_CASE							(   a_						:				Path					,       a_						:				list      ):
  __a								=       '\n'.join(a_      )
  Path(a_      ).open('w'      ).writelines(a_      )


UpperCAmelCase_					=   "patrickvonplaten/t5-tiny-random"
UpperCAmelCase_					=   "sshleifer/bart-tiny-random"
UpperCAmelCase_					=   "sshleifer/tiny-mbart"

UpperCAmelCase_					=   logging.StreamHandler(sys.stdout)
logger.addHandler(stream_handler)
logging.disable(logging.CRITICAL)  # remove noisy download output from tracebacks





class  __lowercase    (	__magic_name__			):







   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   )					->     Dict:
     __a								=       Path(self.get_auto_remove_tmp_dir()   ) / 'utest_input.source'
     __a								=       input_file_name.parent / 'utest_output.txt'
     assert not output_file_name.exists()
     __a								=       [' New York (CNN)When Liana Barrientos was 23 years old, she got married in Westchester County.']
     _dump_articles(UpperCamelCase   ,				UpperCamelCase   )

     __a								=       str(Path(self.get_auto_remove_tmp_dir()   ) / 'scores.json'   )
     __a								=       'translation_en_to_de' if model == T5_TINY else 'summarization'
     __a								=       f"\n            run_eval_search.py\n            {model}\n            {input_file_name}\n            {output_file_name}\n            --score_path {score_path}\n            --task {task}\n            --num_beams 2\n            --length_penalty 2.0\n            ".split()

     with patch.object(UpperCamelCase   ,				'argv'   ,				UpperCamelCase   ):
       run_generate()
       assert Path(UpperCamelCase   ).exists()
       # os.remove(Path(output_file_name))







   def 		UpperCamelCase__      (						self   )					->     int:
     self.run_eval_tester(UpperCamelCase   )







   @parameterized.expand([BART_TINY, MBART_TINY]   )
   @slow
   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   )					->     Union[str, Any]:
     self.run_eval_tester(UpperCamelCase   )







   @parameterized.expand([T5_TINY, MBART_TINY]   )
   @slow
   def 		UpperCamelCase__      (						self   ,				UpperCamelCase   )					->     Optional[Any]:
     __a								=       Path(self.get_auto_remove_tmp_dir()   ) / 'utest_input.source'
     __a								=       input_file_name.parent / 'utest_output.txt'
     assert not output_file_name.exists()

     __a								=       {
         'en': ['Machine learning is great, isn\'t it?', 'I like to eat bananas', 'Tomorrow is another great day!'],
         'de': [
             'Maschinelles Lernen ist großartig, oder?',
             'Ich esse gerne Bananen',
             'Morgen ist wieder ein toller Tag!',
         ],
     }

     __a								=       Path(self.get_auto_remove_tmp_dir()   )
     __a								=       str(tmp_dir / 'scores.json'   )
     __a								=       str(tmp_dir / 'val.target'   )
     _dump_articles(UpperCamelCase   ,				text['en']   )
     _dump_articles(UpperCamelCase   ,				text['de']   )
     __a								=       'translation_en_to_de' if model == T5_TINY else 'summarization'
     __a								=       f"\n            run_eval_search.py\n            {model}\n            {str(UpperCamelCase   )}\n            {str(UpperCamelCase   )}\n            --score_path {score_path}\n            --reference_path {reference_path}\n            --task {task}\n            ".split()
     testargs.extend(['--search', 'num_beams=1:2 length_penalty=0.9:1.0']   )

     with patch.object(UpperCamelCase   ,				'argv'   ,				UpperCamelCase   ):
       with CaptureStdout() as cs:
         run_search()
       __a								=       [' num_beams | length_penalty', model, 'Best score args']
       __a								=       ['Info']
       if "translation" in task:
         expected_strings.append('bleu'   )
       else:
         expected_strings.extend(UpperCamelCase   )
       for w in expected_strings:
         assert w in cs.out
       for w in un_expected_strings:
         assert w not in cs.out
       assert Path(UpperCamelCase   ).exists()
       os.remove(Path(UpperCamelCase   )   )



